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Exploratory Subgroup Analytics on Ubiquitous Data

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Mining, Modeling, and Recommending 'Things' in Social Media (MUSE 2013, MSM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8940))

Abstract

This paper presents exploratory subgroup analytics on ubiquitous data: We propose subgroup discovery and assessment approaches for obtaining interesting descriptive patterns and provide a novel graph-based analysis approach for assessing the relations between the obtained subgroup set. This exploratory visualization approaches allows for the comparison of subgroups according to their relations to other subgroups and to include further parameters, e.g., geo-spatial distribution indicators. We present and discuss analysis results utilizing real-world data given by geo-tagged noise measurements with associated subjective perceptions and a set of tags describing the semantic context.

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Notes

  1. 1.

    http://vikamine.org.

  2. 2.

    http://rsubgroup.org.

  3. 3.

    http://everyaware.eu.

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Acknowledgements

This work has been supported by the VENUS research cluster at the interdisciplinary Research Center for Information System Design (ITeG) at Kassel University, and parts of this research was funded by the European Union in the 7th Framework programme EveryAware project (FET-Open).

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Authors and Affiliations

  1. Knowledge and Data Engineering Group, University of Kassel, Kassel, Germany

    Martin Atzmueller & Juergen Mueller

  2. Data Mining and Information Retrieval Group, University of Würzburg, Würzburg, Germany

    Martin Becker

Authors
  1. Martin Atzmueller
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  2. Juergen Mueller
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  3. Martin Becker
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Correspondence to Martin Atzmueller .

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Editors and Affiliations

  1. University of Kassel, Kassel, Germany

    Martin Atzmueller

  2. Microsoft, Beijing, China

    Alvin Chin

  3. University of Kassel, Kassel, Germany

    Christoph Scholz

  4. Norwegian University of Science and Technology, Trondheim, Norway

    Christoph Trattner

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Atzmueller, M., Mueller, J., Becker, M. (2015). Exploratory Subgroup Analytics on Ubiquitous Data. In: Atzmueller, M., Chin, A., Scholz, C., Trattner, C. (eds) Mining, Modeling, and Recommending 'Things' in Social Media. MUSE MSM 2013 2013. Lecture Notes in Computer Science(), vol 8940. Springer, Cham. https://doi.org/10.1007/978-3-319-14723-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-14723-9_1

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